json.dumps escapes each string by first scanning it one character at a time to compute the escaped size (ascii_escape_size in Modules/_json.c); when nothing needs escaping, write_escaped_ascii then copies the string verbatim. For a long string with no characters that need escaping, which is the common case for text values, log messages, and other long content, that per-character sizing scan is pure overhead before the verbatim copy.
The proposal is to detect the no-escape case on the one-byte (ASCII/Latin-1) representation eight bytes at a time. Load eight bytes into a single machine word and test all eight at once for a character that needs escaping (c < 0x20, c > 0x7e, c == '"', or c == '\\'). When a long run has none, return the verbatim size directly. A length guard keeps short strings, such as the typical dict key, on the existing per-character loop, where the eight-byte path would not pay for its setup. Strings that need escaping, and two-byte and four-byte strings (anything with a non-Latin-1 character), keep the current path.
This is the encode-side counterpart to the decode-side scan in #150871 (PR #150872). The two touch different code paths, so they are separate changes.
It is not the SIMD parsing architecture declined in #142915. It uses no SIMD intrinsics, no runtime CPU detection, and no build configuration, only portable 64-bit integer arithmetic with the same 0x0101… / 0x8080… masks that Objects/unicodeobject.c already applies for ASCII scanning. It changes one function and adds no infrastructure, so it does not depend on #125022 and needs no PEP.
When it helps, and when it does not
Measured json.dumps speedups against the current encoder:
Document shape
Effect
One long text field (~11 KB string)
5.3x faster
Many 200-character ASCII string values
3.1x faster
Realistic mixed records (short and medium strings)
1.3x faster
Short keys, strings that need escaping, the pyperformance document
no change
Strings with emoji or other non-Latin-1 text
no change (scalar path)
The benefit is specific to documents whose payload is long, escape-free text. The short-string guard keeps key-heavy documents unaffected.
Correctness
The encoded output is byte-identical to the current encoder. A patch is validated against test_json and a 199-case differential corpus (strings placing each escape-relevant character, including ", \, control chars, 0x7f, and non-Latin-1 characters, at every offset across the eight-byte window, in both ensure_ascii=True and ensure_ascii=False modes). Every output matched.
A proof-of-concept PR follows.
Benchmark
Built base and patched interpreters from this branch's main ancestor and the patch, ran the same script under each, and compared with pyperf compare_to (A/B by swapping Lib/json/encoder.py on the same build; macOS arm64, non-PGO).
importjson, pyperflong_ascii= [("x"*200) for_inrange(200)] # long no-escape ASCII valuestext_blob= {"body": "lorem ipsum dolor sit amet "*400} # one huge no-escape stringescaped= [('a"b\\c\n'*30) for_inrange(200)] # escape-heavyshort_keys= {f"k{i}": iforiinrange(2000)} # short keysmixed_real= [{"id":i,"name":f"user_{i}","email":f"u{i}@x.com","bio":"hello world "*10} foriinrange(300)]
nonascii= ["café 😀 中文 "*20for_inrange(200)] # UCS-2/4 (scalar path)objs={"long_ascii":long_ascii,"text_blob":text_blob,"escaped":escaped,"short_keys":short_keys,"mixed_real":mixed_real,"nonascii":nonascii}
r=pyperf.Runner()
forn,oinobjs.items():
r.bench_func(f"dumps/{n}", lambdao=o: json.dumps(o))
Fair point. I've added the full pyperf script and the A/B method to the issue (and it was already in the PR's benchmark section). The same is now on the decode (#150871) and ensure_ascii=False (#150878) issues.
No worries. It is in the issue body now under the Benchmark section: the result table plus the full pyperf script and the A/B method (swap Lib/json/encoder.py on the same build, compare with pyperf compare_to). Anyone can reproduce the numbers from there.
Activity
pythongh-150875: Speed up JSON string encoding for long ASCII strings
picnixz commented on Jun 3, 2026
Pleaee always provide the script for the benchmarks, we cannot trust random numbers.
gaborbernat commented on Jun 3, 2026
Fair point. I've added the full pyperf script and the A/B method to the issue (and it was already in the PR's benchmark section). The same is now on the decode (#150871) and ensure_ascii=False (#150878) issues.
picnixz commented on Jun 3, 2026
IOh it was on the PR? my bad but please point this on the issue. Otherwise the numbers look magical.
gaborbernat commented on Jun 3, 2026
No worries. It is in the issue body now under the Benchmark section: the result table plus the full pyperf script and the A/B method (swap Lib/json/encoder.py on the same build, compare with pyperf compare_to). Anyone can reproduce the numbers from there.
StanFromIreland commented on Sep 23, 2026
Closing in concordance with the PR closure.